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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Experience with AI algorithms, predictive modeling and machine learning techniques and their application to insurance problem solving. Advanced degree (Master's or Ph. D.) in Industrial Engineering, Operations Research, Applied Mathematics, or related fields.
$102,000 - $168,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
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Utilize cutting-edge machine learning approaches and construct sophisticated machine learning models including deep learning architectures on big data platforms. Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network - CNN and RNN, Clustering, Recommendation) as well as design and tuning.
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Act as a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline. Experience in developing machine learning, optimization, and/or statistical models to solve real world problems.
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Ph. D. in computer science, applied mathematics, computational sciences, physics, chemistry, or a related field. Successful candidates will demonstrate scientific excellence and outstanding achievements applying advanced machine learning, artificial intelligence and computational sciences in human health.
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In this role, you will collaborate with cross-functional teams to develop cutting-edge data science solutions using machine learning and artificial intelligence. Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics, or related field.
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To qualify you must have a Masters degree in a quantitative discipline (Biomedical or Clinical Informatics, Epidemiology, Biostatistics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) and 3 years of experience in data science.
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Build complex technical solutions using statistics, clustering, machine learning algorithms - GBM (Gradient Boosting Machine), random forest, R, Python, Scala, SL, MS Office (including VBA) on Big Data clusters, cloud data warehouses - Snowflake, GCP, as well as knowledge of the retail industry.
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machine learning applied mathematics jobs in Hoboken, NJ
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